irds/wikir_en78k

---
pretty_name: '`wikir/en78k`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---

# Dataset Card for `wikir/en78k`

The `wikir/en78k` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wikir#wikir/en78k).

# Data

This dataset provides:
- `docs` (documents, i.e., the corpus); count=2,456,637

## Usage

```python
from datasets import load_dataset

docs = load_dataset('irds/wikir_en78k', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}

```

Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the
data in 🤗 Dataset format.

## Citation Information

```
@inproceedings{Frej2020Wikir,
title={WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset},
author={Jibril Frej and Didier Schwab and Jean-Pierre Chevallet},
booktitle={LREC},
year={2020}
}
@inproceedings{Frej2020MlWikir,
title={MLWIKIR: A Python Toolkit for Building Large-scale Wikipedia-based Information Retrieval Datasets in Chinese, English, French, Italian, Japanese, Spanish and More},
author={Jibril Frej and Didier Schwab and Jean-Pierre Chevallet},
booktitle={CIRCLE},
year={2020}
}
```

原始信息汇总

数据集概述

数据集名称

wikir/en78k

数据来源

由ir-datasets包提供。

数据内容

• 文档类型: 文档（即语料库）
• 文档数量: 2,456,637

使用示例

python from datasets import load_dataset

docs = load_dataset(irds/wikir_en78k, docs) for record in docs: record # {doc_id: ..., text: ...}

引用信息

@inproceedings{Frej2020Wikir, title={WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset}, author={Jibril Frej and Didier Schwab and Jean-Pierre Chevallet}, booktitle={LREC}, year={2020} } @inproceedings{Frej2020MlWikir, title={MLWIKIR: A Python Toolkit for Building Large-scale Wikipedia-based Information Retrieval Datasets in Chinese, English, French, Italian, Japanese, Spanish and More}, author={Jibril Frej and Didier Schwab and Jean-Pierre Chevallet}, booktitle={CIRCLE}, year={2020} }